Improving cross-track scanning radiometers’ precipitation retrieval over ocean by morphing

You, Yalei; Peters-Lidard, Christa; Munchak, S. Joseph; Tan, Jackson; Braun, Scott; Ringerud, Sarah; Blackwell, William; Yang, John Xun; Nelkin, Eric; Dong, Jun

doi:10.1175/JHM-D-21-0038.1

i

Improving cross-track scanning radiometers’ precipitation retrieval over ocean by morphing

2021
By You, Yalei ; Peters-Lidard, Christa ; Munchak, S. Joseph ; ...

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Journal Title:

Journal of Hydrometeorology
Personal Author:

You, Yalei ; Peters-Lidard, Christa ; Munchak, S. Joseph ; Tan, Jackson ; Braun, Scott ; Ringerud, Sarah ; Blackwell, William ; Yang, John Xun ; Nelkin, Eric ; Dong, Jun
NOAA Program & Office:

CISESS (Cooperative Institute for Satellite Earth System Studies)
Description:

Previous studies showed that conical scanning radiometers greatly outperform cross-track scanning radiometers for precipitation retrieval over ocean. This study demonstrates a novel approach to improve precipitation rates at the cross-track scanning radiometers’ observation time by propagating the conical scanning radiometers’ retrievals to the cross-track scanning radiometers’ observation time. The improved precipitation rate is a weighted average of original crosstrack radiometers’ retrievals and retrievals propagated from a conical scanning radiometer. The cross-track scanning radiometers include the Advanced Technology Microwave Sounder (ATMS) on board the SNPP satellite and four Microwave Humidity Sounders (MHSs). The conical scanning radiometers include the Advanced Microwave Scanning Radiometer 2 (AMSR2) and three Special Sensor Microwave Imager/Sounders (SSMISs), while the precipitation retrievals from the Global Precipitation Measurement (GPM) Microwave Imager (GMI) are taken as the reference. Results show that the morphed precipitation rates agree much better with the reference. The degree of improvement depends on several factors, including the propagated precipitation source, the time interval between the cross-track scanning radiometer and the conical scanning radiometer, the precipitation type (convective versus stratiform), the precipitation events’ size, and the geolocation. The study has potential to greatly improve high-impact weather systems monitoring (e.g., hurricanes) and multisatellite precipitation products. It may also enhance the usefulness of future satellite missions with cross-track scanning radiometers on board.
Keywords:

Precipitation (Meteorology) Remote Sensing Remote Sensing
Source:

Journal of Hydrometeorology, 22(9), 2393-2406
DOI:

https://doi.org/10.1175/JHM-D-21-0038.1
Document Type:

Journal Article
Funding:

Grant no. NA19NES4320002
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

urn:sha256:81629957c0106f736538239beacb5515a56c4ccf4e68c4c72c1cb3703bc30f5a
Download URL:

https://repository.library.noaa.gov/view/noaa/48119/noaa_48119_DS1.pdf
File Type:

[PDF - 8.12 MB ]

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